Statistics for the Social Sciences: Moving Toward an Integrated Approach bridges the educational gap between undergraduate and graduate-level courses in social sciences statistics, providing students with a single, focused way to think about statistics, ensuring they have a firm grasp of fundamental knowledge, and introducing advanced topics and concepts. The book approaches the subject matter from a conceptual and practical standpoint. It teaches students how to read and understand empirical research articles and then effectively design and analyze their own studies.

Over the course of 12 chapters, students learn about descriptive statistics, null hypothesis significance testing, preparatory data analysis, means comparison procedures, multiple independent group means, correlation, and simple regression. Specific sections explore multiple regression and categorical variables in regression. The final chapters focus on testing the moderation hypothesis. Throughout, students are provided with data analysis examples with annotated output to build practical knowledge, as well as discussion questions and exercises to foster critical thinking and direct application.

Innovative and highly accessible, Statistics for the Social Sciences is well suited for upper-level undergraduate or first-year graduate level courses in social sciences statistics.